Applies target encoding to a given dataset

Applies target encoding to a given dataset

# S4 method for H2OTargetEncoderModel
h2o.transform(
  model,
  data,
  data_leakage_handling = NULL,
  use_blending = NULL,
  inflection_point = -1,
  smoothing = -1,
  noise = -1,
  seed = -1
)

Arguments

model	A trained model representing the transformation strategy
data	An H2OFrame with data to be transformed
data_leakage_handling	Handling of data leakage. Available options are : ["None", "LeaveOneOut", "KFold"]. Defaults to "None".
use_blending	Use blending during the transformation. Respects model settings when not set.
inflection_point	Blending parameter. Only effective when blending is enabled. By default, model settings are respected, if not overridden by this setting.
smoothing	Blending parameter. Only effective when blending is enabled. By default, model settings are respected, if not overridden by this setting.
noise	An amount of random noise added to the encoding. This helps prevent overfitting. Defaults to 0.01 * range of response.
seed	A random seed used to generate draws from the uniform distribution for random noise. Defaults to -1.

Value

Returns an H2OFrame object with data transformed.